Analyzing Associations Between Anxiety and Premature Ejaculation Using Longitudinal Data and Structural Equation Modeling

D2 Artikel i en professionell bok


Interna författare/redaktörer


Publikationens författare: Daniel Ventus
Förläggare: Sage
Publiceringsår: 2018
Tidskrift: Sage Research Methods Cases
Moderpublikationens namn: Sage Research Methods Cases
Seriens namn: SAGE Research Methods Cases in Sociology
Volym: Part 2


Abstrakt

As part of my PhD research project, I was interested in what causes
premature ejaculation. This case study presents analyses on possible
causal associations between premature ejaculation and anxiety, as well
as sexual distress and depression. The statistical method, structural
equation modeling, is introduced and applied, as is the concept of
latent variables. The results showed no long-term associations between
the study variables, and possible interpretations of this result are
presented. Pros and cons of using a previously collected data set are
discussed.


Senast uppdaterad 2020-29-05 vid 06:45